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| Criterion |  Delivery Monte Carlo Forecasting |  Operations Root Cause Analysis |  Decision Making Pareto Analysis |  Operations Barrier Analysis |
|---|---|---|---|---|
Purposedifferent | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication. | When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. | In many problem situations, effect is distributed unequally across many causes. A Pareto Analysis separates the few drivers with high leverage from the long remainder and focuses attention on what measurably moves the needle. | For a risk that can only be managed through multiple layers of protection, the method examines the effectiveness of each barrier. It shows where safeguards are missing, too weak, or fail under real conditions. |
Complexitydifferent | High | Medium | Low | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 1-4 h | 30-60 min | 2-4 h |
Participantsdifferent | 1-8 | 3-8 | 1-6 | 2-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Pareto Chart, Top Causes, Focus List | Barrier Inventory, Failure Analysis per Barrier, Action Backlog |
Tagsno overlap | ForecastingFlowDelivery | Root causeProblem solvingQualityIncident | PrioritizationQualityFocusRoot cause | Root causeSafetyIncident |